将RNA-Seq集成到基因组测序工作流程中,可以增强对导致神经发育障碍的结构变异的分析
Kevin Riquin1, Bertrand Isidor2,3, Sandra Mercier2,3
1l'institut du thorax, Nantes Université, CHU de Nantes, CNRS, INSERM, Nantes, France kevin.riquin@univ-nantes.fr.
Journal of medical genetics
|July 26, 2023
概括
基因组测序 (GS) 可以改善神经发育障碍 (NDD) 的诊断. 将RNA-Seq与GS集成,可以增强变体解释,特别是对于非编码和结构变体,从而提高诊断产量.
科学领域:
- 遗传学 遗传学 是一个
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 神经发育障碍 (NDD) 的分子诊断主要依赖于外体序列 (ES),单个病例为31%,综合征病例为53%.
- 基因组测序 (GS) 越来越多地被用于全基因组测试,因为成本下降,超过ES.
- 通过GS识别的深层内部或非编码区域的解释变异是一个重大挑战.
研究的目的:
- 评估将RNA测序 (RNA-Seq) 集成到基因组测序 (GS) 工作流中的实用性,以诊断神经发育障碍 (NDD).
- 通过利用补充的转录基因数据,加强对NDDs,特别是结构变异 (SVs) 的分子原因的分析.
主要方法:
- 三基因组测序 (GS) 在33名具有NDD和不确定的外基因组测序 (ES) 结果的个体上进行.
- RNA测序 (RNA-Seq) 应用于9个个体的皮肤纤维细胞,GS结果不确定的.
- 光学基因组映射 (OGM) 用于表征两个结构变异 (SV) 的意义不明.
主要成果:
- 在16个个体 (48%) 中发现了致病或可能致病的变体,以及六种不确定的变体.
- RNA-Seq为三个个体提供了关键的解释性见解,澄清了转录层面的变异影响.
- 光学基因组映射 (OGM) 成功表征了两个复杂的结构变异.
结论:
- 基因组测序 (GS) 显著提高神经发育障碍 (NDD) 的诊断性能.
- 整合RNA-Seq数据解决了GS识别的结构和非编码变体所带来的解释挑战.
- 这种综合方法可以更容易地确认变体在转录或监管层面的影响,为新的诊断协议铺平了道路.
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